Mastering pandas

The pandas library allows you to perform data ingestion, exporting, transformation, and visualization with ease. As a result, it's very popular among data scientists, quants, Excel junkies, and Python developers.

Matt Harrison leads a deep dive into some advanced features of pandas, such as plotting, the integration with matplotlib, and filtering data. Using the Jupyter Notebook, you'll load data, inspect it, tweak it, visualize it, and do some analysis with only a few lines of code. By the end of this three-hour hands-on training, you’ll be able to use the split-apply-combine paradigm with GroupBy and pivot and be familiar with stacking and unstacking data.

About your instructor

Matt runs MetaSnake, a Python and Data Science training and consulting company. He has over 15 years of experience using Python across a breadth of domains: Data Science, BI, Storage, Testing and Automation, Open Source Stack Management, and Search.

Schedule

The timeframes are only estimates and may vary according to how the class is progressing

Plotting (25 minutes)

Lecture: The integrated plotting functionality in pandas; using it to visually inspect your data

Hands-on exercise: Use plotting to inspect your data

Filtering (25 minutes)

Lecture: Digging into your data (slicing and dicing as needed)

Hands-on exercise: Filter your data

Break (10 minutes)

Dealing with NaN (25 minutes)

Lecture: Examining and dealing with missing values

Hands-on exercise: Deal with NaN

Grouping (30 minutes)

Lecture: pandas advanced features for grouping; grouping your data by various features; aggregating and returning the results